Epigenetic inactivation of transforming growth factor-β1 target gene HEYL, a novel tumor suppressor, is involved in the P53-induced apoptotic pathway in hepatocellular carcinoma

Development and validation of an inflammatory response-related signature in triple negative breast cancer for predicting prognosis and immunotherapy

Background

Inflammation is one of the most important characteristics of tumor tissue. Signatures based on inflammatory response-related genes (IRGs) can predict prognosis and treatment response in a variety of tumors. However, the clear function of IRGs in the triple negative breast cancer (TNBC) still needs to be explored.

Methods

IRGs clusters were discovered via consensus clustering, and the prognostic differentially expressed genes (DEGs) across clusters were utilized to develop a signature using a least absolute shrinkage and selection operator (LASSO). Verification analyses were conducted to show the robustness of the signature. The expression of risk genes was identified by RT-qPCR. Lastly, we formulated a nomogram to improve the clinical efficacy of our predictive tool.

Results

The IRGs signature, comprised of four genes, was developed and was shown to be highly correlated with the prognoses of TNBC patients. In contrast with the performance of the other individual predictors, we discovered that the IRGs signature was remarkably superior. Also, the ImmuneScores were elevated in the low-risk group. The immune cell infiltration showed significant difference between the two groups, as did the expression of immune checkpoints.

Conclusion

The IRGs signature could act as a biomarker and provide a momentous reference for individual therapy of TNBC.

Well-TEMP-seq as a microwell-based strategy for massively parallel profiling of single-cell temporal RNA dynamics

Single-cell RNA sequencing (scRNA-seq) reveals the transcriptional heterogeneity of cells, but the static snapshots fail to reveal the time-resolved dynamics of transcription. Herein, we develop Well-TEMP-seq, a high-throughput, cost-effective, accurate, and efficient method for massively parallel profiling the temporal dynamics of single-cell gene expression. Well-TEMP-seq combines metabolic RNA labeling with scRNA-seq method Well-paired-seq to distinguish newly transcribed RNAs marked by T-to-C substitutions from pre-existing RNAs in each of thousands of single cells. The Well-paired-seq chip ensures a high single cell/barcoded bead pairing rate (~80%) and the improved alkylation chemistry on beads greatly alleviates chemical conversion-induced cell loss (~67.5% recovery). We further apply Well-TEMP-seq to profile the transcriptional dynamics of colorectal cancer cells exposed to 5-AZA-CdR, a DNA-demethylating drug. Well-TEMP-seq unbiasedly captures the RNA dynamics and outperforms the splicing-based RNA velocity method. We anticipate that Well-TEMP-seq will be broadly applicable to unveil the dynamics of single-cell gene expression in diverse biological processes.

Partial-Methylated HeyL Promoter Predicts the Severe Illness in Egyptian COVID-19 Patients

Background

To date (14 January 2022), the incidence and related mortality rate of COVID-19 in America, Europe, and Asia despite administrated of billions doses of many approved vaccines are still higher than in Egypt. Epigenetic alterations mediate the effects of environmental factors on the regulation of genetic material causing many diseases.

Objective

We aimed to explore the methylation status of HeyL promoter, a downstream transcription factor in Notch signal, an important regulator of cell proliferation and differentiation blood, pulmonary epithelial, and nerves cells.

Methods

Our objective was achieved by DNA sequencing of the product from methyl-specific PCR of HeyL promoter after bisulfite modification of DNA extracted from the blood samples of 30 COVID-19 patients and 20 control health subjects and studying its association with clinical-pathological biomarkers.

Results

We found that the HeyL promoter was partial-methylated in Egyptian COVID-19 patients and control healthy subjects compared to full methylated one that was published in GenBank. We identified unmethylated CpG (TG) flanking the response elements within HeyL promoter in Egyptian COVID-19 patients and control healthy subjects vs. methylated CpG (CG) in reference sequence (GenBank). Also, we observed that the frequency of partial-methylated HeyL promoter was higher in COVID-19 patients and associated with aging, fever, severe pneumonia, ageusia/anosmia, and dry cough compared to control healthy subjects.

Conclusion

We concluded that hypomethylated HeyL promoter in Egyptian population may facilitate the binding of transcription factors to their binding sites, thus enhancing its regulatory action on the blood, pulmonary epithelium, and nerves cells in contrast to full methylated one that was published in GenBank; thus, addition of demethylating agents to the treatment protocol of COVID-19 may improve the clinical outcomes. Administration of therapy must be based on determination of methylation status of HeyL, a novel prognostic marker for severe illness in COVID-19 patients.

The NOTCH3 Downstream Target HEYL Is Required for Efficient Human Airway Basal Cell Differentiation

Basal cells (BCs) are stem/progenitor cells of the mucociliary airway epithelium, and their differentiation is orchestrated by the NOTCH signaling pathway. NOTCH3 receptor signaling regulates BC to club cell differentiation; however, the downstream responses that regulate this process are unknown. Overexpression of the active NOTCH3 intracellular domain (NICD3) in primary human bronchial epithelial cells (HBECs) on in vitro air–liquid interface culture promoted club cell differentiation. Bulk RNA-seq analysis identified 692 NICD3-responsive genes, including the classical NOTCH target HEYL, which increased in response to NICD3 and positively correlated with SCGB1A1 (club cell marker) expression. siRNA knockdown of HEYL decreased tight junction formation and cell proliferation. Further, HEYL knockdown reduced club, goblet and ciliated cell differentiation. In addition, we observed decreased expression of HEYL in HBECs from donors with chronic obstructive pulmonary disease (COPD) vs. normal donors which correlates with the impaired differentiation capacity of COPD cells. Finally, overexpression of HEYL in COPD HBECs promoted differentiation into club, goblet and ciliated cells, suggesting the impaired capacity of COPD cells to generate a normal airway epithelium is a reversible phenotype that can be regulated by HEYL. Overall, our data identify the NOTCH3 downstream target HEYL as a key regulator of airway epithelial differentiation.

Exosomal lncRNA SCIRT/miR-665 Transferring Promotes Lung Cancer Cell Metastasis through the Inhibition of HEYL

Lung cancer remains the leading cause of cancer-related death worldwide. Recently, extracellular vesicles such as exosomes have attracted considerable interest both as a source for theranostic biomarkers and an essential participant in lung cancer progression. However, how specific exosomal cargos, such as noncoding RNAs, are selectively packaged into exosomes and promote lung cancer progression remains unclear. In this study, we identified miR-665 as the most elevated exosomal miRNA from both non-small-cell lung cancer (NSCLC) and small-cell lung cancer (SCLC) patients. We further demonstrated that lncRNA SCIRT was also increased in cancer cell exosomes and may facilitate the exosomal loading of miR-665 with the help of hnRNPA1. As a consequence, exosomal miR-665 promoted lung cancer cell invasion and migration by targeting Notch downstream transcription factor HEYL. In addition, we found that miR-665 and SCIRT were significantly upregulated in tumor tissue and plasma of patients with lung cancer, and both of them showed increased expression in metastatic disease samples. Our findings suggest that the exosomal transferring of miR-665 and SCIRT is a functional and mechanism-driven pathway that contributes to cancer progression and, thus, may provide novel diagnostic and therapeutic targets for lung cancer.

In silico development and clinical validation of novel 8 gene signature based on lipid metabolism related genes in colon adenocarcinoma

BACKGROUND

Changes in lipid metabolism pathways play a major role in colon carcinogenesis and development. Hence, we conducted a systematic analysis of lipid metabolism-related genes to explore new markers that predict the prognosis of colon adenocarcinoma (COAD).

METHODS

The non-negative Matrix Factorization (NMF) algorithm was applied to identify the molecular subtypes based on lipid metabolism-related genes. A weighted correlation network analysis (WCGNA) was used to identify co-expressed genes, and Lasso multivariate Cox analysis was performed to build a risk prognosis model. A timer database was used to analyze the immune infiltration of the gene signature and the GSCALite database was used for genome-wide analysis of the gene signature.

RESULTS

TCGA-COAD samples were divided into 3 subtypes based on lipid metabolism-related genes. 2739 genes were identified by WGCNA analysis. Finally, an 8-gene signature (RTN2, FYN, HEYL, FAM69A, FBXL5, HMGN2, LGALS4, STOX1) was constructed that demonstrated good robustness in different datasets, as well as an independent risk factor for colon cancer patients' prognosis. In addition, our model's predictive efficacy overall was higher than that of the other published models, and the 8 genes' expression analysis indicated that RTN2, HEYL, and STOX1 were all expressed highly significantly in COAD, while FAM69A, FBXL5, LGALS4, FYN and HMGN2 were expressed significantly poorly in cancer tissues, which was confirmed in immunohistochemistry. The 8 genes were expressed significantly differently in COAD immune subtypes and correlated with clinical variables. Genome-wide analysis revealed that the STOX1 mutation frequency was the highest, and genome methylation influenced HEYL, FAM69A, and STOX1 gene expression significantly; further, the expression of HEYL and FBXL5 was correlated positively with Copy number variation (CNV) and was regulated significantly by CNV in most cancers. FBXL5 was correlated significantly with austocystin d and bafilomycin and played an important role in anti-tumor and immunotherapy. The HEYL, FYN, FAM69A, and RTN2 genes' expression was associated with the EMT pathway's activation, while LGALS4 and STOX1 were associated significantly with the EMT pathway's inhibition.

CONCLUSION

This study constructed an 8-gene signature as a novel marker to predict colon cancer patients' survival.

Transcription factor expression as a predictor of colon cancer prognosis: a machine learning practice

BACKGROUND

Colon cancer is one of the leading causes of cancer deaths in the USA and around the world. Molecular level characters, such as gene expression levels and mutations, may provide profound information for precision treatment apart from pathological indicators. Transcription factors function as critical regulators in all aspects of cell life, but transcription factors-based biomarkers for colon cancer prognosis were still rare and necessary.

METHODS

We implemented an innovative process to select the transcription factors variables and evaluate the prognostic prediction power by combining the Cox PH model with the random forest algorithm. We picked five top-ranked transcription factors and built a prediction model by using Cox PH regression. Using Kaplan-Meier analysis, we validated our predictive model on four independent publicly available datasets (GSE39582, GSE17536, GSE37892, and GSE17537) from the GEO database, consisting of 925 colon cancer patients.

RESULTS

A five-transcription-factors based predictive model for colon cancer prognosis has been developed by using TCGA colon cancer patient data. Five transcription factors identified for the predictive model is HOXC9, ZNF556, HEYL, HOXC4 and HOXC6. The prediction power of the model is validated with four GEO datasets consisting of 1584 patient samples. Kaplan-Meier curve and log-rank tests were conducted on both training and validation datasets, the difference of overall survival time between predicted low and high-risk groups can be clearly observed. Gene set enrichment analysis was performed to further investigate the difference between low and high-risk groups in the gene pathway level. The biological meaning was interpreted. Overall, our results prove our prediction model has a strong prediction power on colon cancer prognosis.

CONCLUSIONS

Transcription factors can be used to construct colon cancer prognostic signatures with strong prediction power. The variable selection process used in this study has the potential to be implemented in the prognostic signature discovery of other cancer types. Our five TF-based predictive model would help with understanding the hidden relationship between colon cancer patient survival and transcription factor activities. It will also provide more insights into the precision treatment of colon cancer patients from a genomic information perspective.

The notch target gene HEYL modulates metastasis forming capacity of colorectal cancer patient-derived spheroid cells in vivo

BACKGROUND

While colorectal cancer (CRC) patients with localized disease have a favorable prognosis, the five-year-survival rate in patients with distant spread is still below 15%. Hence, a detailed understanding of the mechanisms regulating metastasis formation is essential to develop therapeutic strategies targeting metastasized CRC. The notch pathway has been shown to be involved in the metastatic spread of various tumor entities; however, the impact of its target gene HEYL remains unclear so far.

METHODS

In this study, we functionally assessed the association between high HEYL expression and metastasis formation in human CRC. Therefore, we lentivirally overexpressed HEYL in two human patient-derived CRC cultures differing in their spontaneous metastasizing capacity and analyzed metastasis formation as well as tumor cell dissemination into the bone marrow after xenotransplantation into NOD.Cg-Prkdc^scid Il2rg^tm1Wjl/SzJ (NSG) mice.

RESULTS

HEYL overexpression decreased tumor cell dissemination and the absolute numbers of formed metastases in a sub-renal capsular spontaneous metastasis formation model, addressing all steps of the metastatic cascade. In contrast, metastatic capacity was not decreased following intrasplenic xenotransplantation where the cells are placed directly into the blood circulation.

CONCLUSION

These results suggest that HEYL negatively regulates metastasis formation in vivo presumably by inhibiting intravasation of metastasis-initiating cells.

Molecular Aging of Human Liver: An Epigenetic/Transcriptomic Signature

The feasibility of liver transplantation from old healthy donors suggests that this organ is able to preserve its functionality during aging. To explore the biological basis of this phenomenon, we characterized the epigenetic profile of liver biopsies collected from 45 healthy liver donors ranging from 13 to 90 years old using the Infinium HumanMethylation450 BeadChip. The analysis indicates that a large remodeling in DNA methylation patterns occurs, with 8,823 age-associated differentially methylated CpG probes. Notably, these age-associated changes tended to level off after the age of 60, as confirmed by Horvath's clock. Using stringent selection criteria, we further identified a DNA methylation signature of aging liver including 75 genomic regions. We demonstrated that this signature is specific for liver compared to other tissues and that it is able to detect biological age-acceleration effects associated with obesity. Finally, we combined DNA methylation measurements with available expression data. Although the intersection between the two omic characterizations was low, both approaches suggested a previously unappreciated role of epithelial-mesenchymal transition and Wnt-signaling pathways in the aging of human liver.

Using Illumina Infinium HumanMethylation 450K BeadChip to explore genome‑wide DNA methylation profiles in a human hepatocellular carcinoma cell line

Aberrant DNA methylation is the most common type of epigenetic alteration and is associated with many types of cancer. Although previous studies have provided a few novel DNA methylation markers in hepatocellular carcinoma (HCC), specific DNA methylation patterns and comparisons of the aberrant alterations in methylation between HCC and normal liver cell lines have not yet been reported. Therefore, in the present study the Illumina Infinium HumanMethylation 450K BeadChip was employed to identify the genome-wide aberrant DNA methylation profiles of Huh7 and L02 cells. Following Bonferroni adjustment, 102,254 differentially methylated CpG sites (covering 26,511 genes) were detected between Huh7 and L02 cells. Of those CpG sites, 62,702 (61.3%) sites were hypermethylated (covering 12,665 genes) and 39,552 (38.7%) sites were hypomethylated (covering 13,846 genes). The results of the present study indicated that 40.3% of the CpG sites were in CpG island regions, 20.7% were in CpG shores and 8.8% were in shelf regions. A total of 57.3% hypermethylated CpG sites and 39.4% of the hypomethylated CpG sites had a |β-Difference| ≥50%. Within the significant differentially methylated CpG sites, 490 genes were located within 598 differentially methylated regions. Gene Ontology enrichment analysis revealed that 2,107 differentially methylated genes were associated with ‘biological process’, 13,351 differentially methylated genes were associated with ‘molecular function’, and 18,041 differentially methylated genes were associated with ‘cellular component’. Kyoto Encyclopedia of Genes and Genomes pathway-based analysis revealed 43 signaling pathways that were associated with 5,195 differentially methylated genes. These results demonstrated that aberrant DNA methylation may be a key and common event underlying the tumorigenesis of Huh7 cells. The present study also identified many subsets of hypo- or hyper-methylated CpG sites, genes and signaling pathways, which have an importance in the occurrence and development of HCC.

WITHDRAWN: Epigenetics in Chronic Liver Disease

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Polymorphisms in Epithelial-Mesenchymal Transition-Related Genes and the Prognosis of Surgically Treated Non-small Cell Lung Cancer

BACKGROUND

This study was conducted to determine whether single-nucleotide polymorphisms (SNPs) in EMT-related genes may influence the prognosis of NSCLC after surgery.

METHODS

There were 88 SNPs in EMT-related genes evaluated in a discovery set of 376 patients who underwent curative surgery for NSCLC. Significantly, 14 SNPs were evaluated in a validation set of 428 patients. Luciferase assay and RT-PCR were conducted to examine functional relevance of polymorphisms.

RESULTS

Fourteen SNPs that were associated with survival outcomes in a discovery set were selected for validation. Among those, two SNPs (FOXF2 rs1711972A>C and HEYL rs784621G>A) were replicated in a validation study. In combined analysis, FOXF2 rs1711972 AC+CC genotype was associated with significantly better overall survival (OS) and disease-free survival (DFS) compared with AA genotype (adjusted hazard ratio [aHR] for OS = 0.67, 95% confidence interval [CI] 0.51-0.88, P = 0.004; and aHR for DFS = 0.77, 95% CI 0.62-0.95, P = 0.01). HEYL rs784621 AA genotype exhibited a significantly worse OS compared with GG+GA genotype (aHR for OS = 2.65, 95% CI 1.63-4.31, P = 8 × 10^-5). FOXF2 rs1711972C allele had a significantly increased promoter activity than rs1711972A allele (P = 0.01), and HEYL rs784621A allele had a significantly lower promoter activity than rs784621G allele (P = 0.004). FOXF2 rs1711972A>C was significantly associated with increased FOXF2 mRNA expression.

CONCLUSIONS

FOXF2 rs1711972A>C and HEYL rs784621G>A were associated with survival outcomes of surgically treated NSCLC. These SNPs may help to identify patients at high risk of poor disease outcomes.

TGFΒ-induced transcription in cancer

The Transforming Growth Factor-beta (TGFβ) pathway mediates a broad spectrum of cellular processes and is involved in several diseases, including cancer. TGFβ has a dual role in tumours, acting as a tumour suppressor in the early phase of tumorigenesis and as a tumour promoter in more advanced stages. In this review, we discuss the effects of TGFβ-driven transcription on all stages of tumour progression, with special focus on lung cancer. Since some TGFβ target genes are specifically involved in promoting metastasis, we speculate that these genes might be good targets to block tumour progression without compromising the tumour suppressor effects of the TGFβ pathway.

TGF-β Signaling in Gastrointestinal Cancers: Progress in Basic and Clinical Research

Transforming growth factor (TGF)-β superfamily proteins have many important biological functions, including regulation of tissue differentiation, cell proliferation, and migration in both normal and cancer cells. Many studies have reported that TGF-β signaling is associated with disease progression and therapeutic resistance in several cancers. Similarly, TGF-β-induced protein (TGFBI)—a downstream component of the TGF-β signaling pathway—has been shown to promote and/or inhibit cancer. Here, we review the state of basic and clinical research on the roles of TGF-β and TGFBI in gastrointestinal cancers.

Interplay of genetic and epigenetic alterations in hepatocellular carcinoma

Genetic and epigenetic alterations play prominent roles in hepatocarcinogenesis and their appearance varies depending on etiological factors, race and tumor progression. Intriguingly, distinct patterns of these genetic and epigenetic mutations are coupled not only to affect each other, but to trigger different types of tumorigenesis. The patterns and frequencies of somatic variations vary depending on the nature of the surrounding chromatin. On the other hand, epigenetic alterations often induce genomic instability prone to mutation. Therefore, genetic mutations and epigenetic alterations in hepatocellular carcinoma appear to be inseparable factors that accelerate tumorigenesis synergistically. We have summarized recent findings on genetic and epigenetic modifications, their influences on each other's alterations and putative roles in liver tumorigenesis.